Meeting Banner
Abstract #3192

Motion Correction in Diffusion Spectrum Imaging Using Simulated Diffusion Images at Multiple B Bands

Kwan-Jin Jung1, Nidhi Kohli2, Fang-Cheng Yeh3, Timothy Keller1, Tiejun Zhao4

1Psychology, Carnegie Mellon University, Pittsburgh, PA, United States; 2Electrical and Computer Engineering, Carnegie Mellon University, Pittsburgh, PA, United States; 3Biomedical Engineering, Carnegie Mellon University, Pittsburgh, PA, United States; 4MR R&D Collaborations, Siemens Medical Solutions USA, Pittsburgh, PA, United States

The motion in diffusion imaging was more accurately estimated using simulated diffusion images rather than the b=0 images because the simulated diffusion images had the same contrast as the diffusion images. For diffusion imaging with a single shell b this method has been confirmed to be effective without extensive iteration even for a large amount of deliberate motion. Furthermore, this method has been extended to account for multiple exponential diffusion weighting in diffusion spectrum imaging where the b value ranges widely.

Abstract PDF

Keywords

able absence account analyzed angular anisotropic applications applied audience autism avoided band bands better biomedical block body bottom boundaries brain closer collaborations computer confirmed consecutive contrast corrected correction correctly cost crossing deliberate diagram diffusion distortion distributed double drift electrical engineering estimating estimation experiment exponential exponentially fang fibers flirt function functional gradients head histogram histograms improved indeed iterated iteration iterative made match matching measured medical mono motion movements optimized overall park people problem problems procedure psychology quite reported resolution rigid rotation scale scanner schemes sensitivity shell simulated solutions spectrum spin studio subject subjects subsequently sufficient target tensor tensors timothy tracts transformation usually variations volume volumes volunteers white whole wide